This is a consolidated list of courses that I have picked up over the course of time. The list isn’t auto-generated (yet) so it might not be in sync with all the actual courses I’ve worked on.

Personal Development

1. Learning how to learn

Source: Coursera

What I learned
  • How to stop procrastinating using the Pomodoro technique
  • Importance of Spaced interval practice
  • Importance of Sleep and Exercise for healthy functioning of the brain

2. Dan Brown Teaches Writing Thrillers

Source: Masterclass

What I learned

Read detailed notes

Why I picked this up?

For me, writing comes really easily. Every word I put on my website is mostly easy flowing. I decided to start blogging to build a better web presence. While doing this I realized, my written communication was pretty good and I was keen on becoming a better communicator. Also, I wanted to become an author for a few books so there was always that in the back of my mind. As soon as I came across one of my favorite author’s masterclass, jumped right in.

Deep Learning | Artificial Intelligence | Machine Learning

(They’re not the same)

1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Source: Coursera

What I learned

  • Intuitively understood keras API and how to get started with any DL project
  • Input/Output layers and how to define them based on the data

What I accomplished

  • Built my first neural net from scratch without copying from Stackoverflow

2. Stanford CS231n

Stopped midway

Source: Youtube

Stopped watching this since I was familiar with the theoretical aspects of Images. Wanted a more hands-on approach.

Jumped ship as soon as I came across Tensorflow in Practise specialization on Coursera.

3. Intro to Machine Learning

Stopped midway

Source: Coursera

Math/Statistics

1. Intro to Inferential Statistics

Source: Udacity

What I learned

  • Hypothesis Testing
  • t-Tests
  • ANOVA
  • Correlation
  • Regression

2. Intro to Descriptive Statistics

Source: Udacity

What I learned

  • Research methods
  • Data visualization
  • How to use Google Spreadsheets and formulas
  • Central limit theorem
  • Variance
  • Covariance
  • Normal Distribution
  • Sampling Distributions

Design

1. Getting Started in Graphic Design

Source: Lynda

What I learned

  • Basics of Wireframing and how to align text based on the content
  • NEVER fill up the empty space just because its vacant and “available” from the designer
  • Different types of Typography and how to pair them to make a site visually appealing
  • Pairing colors using the color wheel

Uncategorized

1. Introduction to Networking

Source: Lynda

What I learned

  • Basics of networking, how to set up a network with actual hardware

What I accomplished

  • Setup and managed the whole network for an office with 20 employees
  • Setup network filtering policies based on DNS blocking

2. Up and running with Git and Github

Source: Lynda

3. JavaScript: Functions

Source: Lynda